|
{ |
|
"_name_or_path": "EleutherAI/pythia-1.4b", |
|
"architectures": [ |
|
"GPTNeoXForCausalLM" |
|
], |
|
"attention_bias": true, |
|
"attention_dropout": 0.0, |
|
"bos_token_id": 0, |
|
"classifier_dropout": 0.1, |
|
"eos_token_id": 0, |
|
"hidden_act": "gelu", |
|
"hidden_dropout": 0.0, |
|
"hidden_size": 2048, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 8192, |
|
"layer_norm_eps": 1e-05, |
|
"max_position_embeddings": 2048, |
|
"model_type": "gpt_neox", |
|
"num_attention_heads": 16, |
|
"num_hidden_layers": 24, |
|
"partial_rotary_factor": 0.25, |
|
"quantization_config": { |
|
"amp": false, |
|
"autoround_version": "0.4.0.dev", |
|
"bits": 4, |
|
"damp_percent": 0.01, |
|
"data_type": "int", |
|
"desc_act": false, |
|
"enable_minmax_tuning": true, |
|
"enable_norm_bias_tuning": false, |
|
"enable_quanted_input": true, |
|
"gradient_accumulate_steps": 1, |
|
"group_size": 128, |
|
"iters": 200, |
|
"low_gpu_mem_usage": false, |
|
"lr": 0.005, |
|
"minmax_lr": 0.005, |
|
"nsamples": 128, |
|
"quant_block_list": null, |
|
"quant_method": "gptq", |
|
"scale_dtype": "torch.float16", |
|
"seqlen": 512, |
|
"sym": true, |
|
"train_bs": 4, |
|
"true_sequential": false |
|
}, |
|
"rope_scaling": null, |
|
"rope_theta": 10000, |
|
"rotary_emb_base": 10000, |
|
"rotary_pct": 0.25, |
|
"tie_word_embeddings": false, |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.45.2", |
|
"use_cache": true, |
|
"use_parallel_residual": true, |
|
"vocab_size": 50304 |
|
} |
|
|